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Model Of Real Estate Foreasting And Early Warning System And Its Application In Quzhou City

Posted on:2010-12-05Degree:MasterType:Thesis
Country:ChinaCandidate:X S MaoFull Text:PDF
GTID:2309360272978936Subject:Industrial Engineering
Abstract/Summary:PDF Full Text Request
With the unceasing development of economy in China, real estate has been occupying a bigger and bigger proportion in our national economy, which results in the increaseof its status year after year. However, the rapid rise in aparment purchase price in recent years brings about a new argument over the foam in real estate. In order to solve the problems, such as whether there is the foam in real estate market or not, and how can the market develop healthily, we need a thorough understanding about the developing of real estate market. We already have had a clear mind of periodic fluctuation in economics, and we have established relatively mature and feasible theoretical system that has a crucial role in guiding us to grasp macro economy better. The early-warning theory in real estate was put forward in 1920s, but due to the comparatively latestart, it hasn’t formed a universal theoretical system.Using the theory as the starting point, this paper states the relative theories aboutperiodic fluctuation and early-warning in real estate. Basing on these theories, this study establishes an early-warning index system, it describes the periodic fluctuant situation in Quzhou city real estate market. This research aims to find out the fluctuant disciplines and featuresin this market, and come up with some corresponding macro policies to guide the healthier and more s table development of the market. The ultimate goal of this paper is to use the establishes index system to reflect the reality of the development in Quzhou city real estate market, so as to provide a theoretical and practical foundation for the government to make logical decisions, the investors to invest effectively and the common customers to consume rationally.
Keywords/Search Tags:Quzhou city, Real estate, Early-warning system, Method of comprehensive simulation
PDF Full Text Request
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